The race conditions often limit the smallest feasible clock period that the optimal clock skew scheduling can achieve. Therefore, the combination of clock skew scheduling and dela...
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
Four-dimensional ultrasound based on matrix phased array transducers can capture the complex 4D cardiac motion in a complete and real-time fashion. However, the large amount of in...
Qi Duan, Elsa D. Angelini, Shunichi Homma, Andrew ...
Paper plays a crucial role in many developing world information practices. However, paper-based records are inefficient, error-prone and difficult to aggregate. Therefore we need ...
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...